首页 /研究 /Dual-optimization trajectory planning based on parametric curves for a robot manipulator
MANIPULATION

Dual-optimization trajectory planning based on parametric curves for a robot manipulator

Yong-Lin Kuo, Chun-Chen Lin, Zheng-Ting Lin

发表年份
2020
引用次数
17
访问权限
开放获取

摘要

This article presents a dual-optimization trajectory planning algorithm, which consists of the optimal path planning and the optimal motion profile planning for robot manipulators, where the path planning is based on parametric curves. In path planning, a virtual-knot interpolation is proposed for the paths required to pass through all control points, so the common curves, such as Bézier curves and B-splines, can be incorporated into it. Besides, an optimal B-spline is proposed to generate a smoother and shorter path, and this scheme is especially suitable for closed paths. In motion profile planning, a generalized formulation of time-optimal velocity profiles is proposed, which can be implemented to any types of motion profiles with equality and inequality constraints. Also, a multisegment cubic velocity profile is proposed by solving a multiobjective optimization problem. Furthermore, a case study of a dispensing robot is investigated through the proposed dual-optimization algorithm applied to numerical simulations and experimental work.

关键词

Motion planningComputer scienceParametric equationMathematical optimizationTrajectoryPath (computing)Bézier curveAny-angle path planningParametric statisticsRobot

相关论文

查看 MANIPULATION 分类全部论文